2014
DOI: 10.1016/j.trc.2014.06.007
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Estimating vehicle speed with embedded inertial sensors

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Cited by 26 publications
(12 citation statements)
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“…Inertial sensors (accelerometers) are deemed ideal candidates to serve as pavement sensors for wide-area instrumentation (Levenberg, 2014). Joo and Oh (2013) used GPS and an accelerometer mounted onto a bicycle to derive Bicycle Monitoring Index (BMI).…”
Section: Vibrations and Cycling Comfortmentioning
confidence: 99%
“…Inertial sensors (accelerometers) are deemed ideal candidates to serve as pavement sensors for wide-area instrumentation (Levenberg, 2014). Joo and Oh (2013) used GPS and an accelerometer mounted onto a bicycle to derive Bicycle Monitoring Index (BMI).…”
Section: Vibrations and Cycling Comfortmentioning
confidence: 99%
“…Consequently, recent research in pavement engineering has focused on the development of new asphalt materials that are able to self-heal [5,6], and are less contaminant and more efficient [7][8][9]. In this respect, new systems are being developed which can transform energy from the pavements into electricity [10][11][12], offer information about the state of the road [13] or guide the vehicle [14,15].…”
Section: Introductionmentioning
confidence: 99%
“…Deflections calculated from acceleration showed a reasonable qualitative correlation to those measured by magnetostrictive deflectometers [ 21 ]. Levenberg estimated vehicle speed and pavement layer properties with embedded single-axis high-end piezoelectric accelerometers [ 22 , 23 ]. Unfortunately, the commercial piezoelectric acceleration sensor is often required to be equipped with an adapter and a data acquisition device [ 22 ].…”
Section: Introductionmentioning
confidence: 99%
“…Levenberg estimated vehicle speed and pavement layer properties with embedded single-axis high-end piezoelectric accelerometers [ 22 , 23 ]. Unfortunately, the commercial piezoelectric acceleration sensor is often required to be equipped with an adapter and a data acquisition device [ 22 ]. In practice, there are a lot of disadvantages, such as high energy consumption, large size, high cost, and non-real-time data processing capability.…”
Section: Introductionmentioning
confidence: 99%